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Related Concept Videos

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
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Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Genomic Imprinting and Inheritance02:30

Genomic Imprinting and Inheritance

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Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
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Data literacy in genome research.

Katharina Wolff1, Ronja Friedhoff1, Friderieke Schwarzer1

  • 1Plant Biotechnology and Bioinformatics, Institute of Plant Biology & BRICS, TU Braunschweig, Braunschweig, Germany.

Journal of Integrative Bioinformatics
|December 4, 2023
PubMed
Summary
This summary is machine-generated.

This study developed an integrative course to enhance data literacy skills through a genome sequencing project. Students gained practical experience in experimental design, sequencing, analysis, and scientific communication.

Keywords:
bioinformaticscomputational biologydata literacyeducationgenomicssequencing

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Area of Science:

  • Genomics
  • Bioinformatics
  • Science Education

Background:

  • Increasing research data necessitates robust data literacy skills.
  • Traditional education may not adequately prepare students for data-intensive science.

Purpose of the Study:

  • To develop and evaluate an integrative course for teaching data literacy fundamentals.
  • To engage students in a hands-on genome sequencing project.

Main Methods:

  • Students conducted experimental planning, DNA extraction, and nanopore sequencing.
  • Genome assembly, gene prediction, and functional annotation were performed.
  • Scientific communication skills were honed through paper writing, peer review, and presentations.

Main Results:

  • Students acquired practical data literacy skills through project-based learning.
  • The course facilitated a comprehensive understanding of the genomics workflow.
  • Engagement and ownership of the project were high among students.

Conclusions:

  • An integrative, project-based approach effectively teaches data literacy in genomics.
  • Hands-on experience in sequencing and analysis enhances scientific understanding and communication.
  • This model provides a valuable framework for data science education.